Russian
TTS Voices
Russian text-to-speech voices with accurate stress patterns
From text to talk.
Pick your path.
Call our TTS & STT endpoints directly, wire voice into LiveKit rooms with one plug-in, or spin up an AI assistant on a real phone number.
TTS & STT Endpoints
Production-grade streaming and batch TTS/STT. Low latency, 50+ languages, customizable voices, and SDKs for Node/Python/Browser.
- ›Streaming for live apps
- ›Multi-speaker diarization & punctuation
- ›SDKs, code samples, and latency benchmarks
Sends text to the TTS endpoint and saves the synthesized audio as an MP3 file.
LiveKit Plug-in
Plug our real-time speech pipeline into LiveKit rooms — transcribe live sessions, synthesize responses and stream audio back into the room.
- ›One-line install, example room demo
- ›WebRTC + server bridge patterns
- ›Works in browser & mobile
Connects to a LiveKit room and attaches real-time TTS/STT — transcribes audio in, synthesizes audio out.
AI-Assistants (Phone)
Deploy a phone-number based AI assistant in minutes — inbound/outbound calls, IVR, call recording, and DTMF support.
- ›Purchase & map a phone number
- ›Templates: Support Bot, Sales Assistant, Reminder Bot
- ›PSTN reliability & compliance tools
Creates an AI assistant bound to a phone number with inbound call handling, recording, and DTMF support.
Spanish voices
294TTS voicesEspañol
French voices
98TTS voicesFrançais
German voices
82TTS voicesDeutsch
Indonesian voices
31TTS voicesBahasa Indonesia
Italian voices
51TTS voicesItaliano
Japanese voices
85TTS voices日本語
Korean voices
171TTS voices한국어
Portuguese voices
277TTS voicesPortuguês
Russian voices
34TTS voicesРусский
Chinese voices
189TTS voices中文
Russian phonology and prosody
Stress that changes everything
Russian stress is phonemic and unpredictable[1]. Unlike English, where stress patterns follow loose morphological rules, Russian stress must be learned word by word: and it reshapes the entire vowel system[2]. A stressed /o/ is clear and rounded; unstressed, it reduces to something closer to [a] or [ə][3]. A TTS engine that misplaces stress doesn't just sound wrong: it changes the word. Producing natural Russian speech requires inference that resolves stress-driven vowel reduction in real time, on every syllable.
Hard, soft, and the palatalization split
Russian consonants divide into "hard" and "soft" (palatalized) pairs[1]: /t/ vs. /tʲ/, /d/ vs. /dʲ/, /s/ vs. /sʲ/: a distinction that carries meaning and has no equivalent in English. The difference between "мат" (checkmate) and "мать" (mother) is a single palatalization cue. English TTS architectures built around aspiration contrasts[2] don't transfer. Accurate Russian synthesis requires models trained on this hard-soft axis, running where the audio is processed: not routed through three providers before reaching the caller.
Intonation without the sing-song
Russian intonation operates differently from English. Questions can end with falling pitch[1]. Focus and emotion shift through pitch accent placement within the sentence[2], not through the rising-falling melody English speakers expect. To an English ear, flat. To a Russian ear, natural. A voice AI system that imposes English prosodic patterns on Russian output sounds foreign immediately. Getting this right demands speech synthesis co-located with telephony: no inter-provider hops adding latency or degrading the signal that carries these precise tonal cues.